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Convert codebases into visual heatmaps for large-scale AI auditing and analysis.
The materials indicate this MCP tool mainly encodes a local TypeScript/JavaScript codebase into a PNG heatmap, with no stated API keys or remote endpoints. Given its inherent ability to execute locally and its low adoption with unknown maintenance status, the overall posture is caution rather than clear high risk.
The materials explicitly state that no keys or environment variables are required, and no OAuth, API tokens, or other sensitive credentials are mentioned, so credential exposure appears limited.
Neither the materials nor the objective checks declare any remote endpoint, and the description points to locally encoding a codebase into a PNG; there is no factual indication of user data being sent to external services.
The system flags executes-code, indicating this MCP can run code or launch processing locally. This is a normal caution-level property for such tools, and the materials do not show requests for system privileges beyond its stated function.
Its function requires reading a TypeScript/JavaScript codebase and generating PNG output, which implies local source-code access and file output. No broader data-access claims are shown, but it should still be run with least privilege.
An open-source repository exists, which lowers risk because the code can in principle be audited; however, the source is only a third-party registry, community adoption is 0 stars, maintenance is unknown, and the license is noncommercial-restricted, so overall supply-chain trust remains limited and warrants manual review of the repo and dependencies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sonic-boom" yet — see the docs or source repo.
Encode this TypeScript project into a deterministic PNG heatmap, preserving file structure and module density so a vision-capable model can audit the whole codebase.
A codebase heatmap image readable by vision models, plus a brief note describing the encoded scope.
Convert this JavaScript monorepo into a PNG heatmap so I can send it to a vision model to assess module coupling, directory distribution, and likely refactoring targets.
A heatmap suited for architecture review, helping the model identify structural issues from a global view.
Encode this codebase into a stable PNG heatmap so a vision model can inspect dependency distribution and high-risk areas without token limits.
A code heatmap tailored for security review, ready for further analysis by a vision model.
Turn codebases into knowledge graphs for architecture and dependency understanding.
Turn code into an interactive graph for exploration, search, and Q&A.
Understand massive codebases with semantic search, dependency analysis, and impact tracing.
Scan, store, and semantically search codebase API endpoints for faster coding.
Query and understand large codebases with a fast knowledge graph for AI agents.
Query local codebases, guide safe changes, and produce audit-ready evidence.